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Shelton’s Essentials

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Harsh Roy

How Video Platforms are Transforming Internal Collaboration

The Enterprise Video Market is expanding as hybrid work, global operations, and skills shortages push organizations to scale communication and training. Buyers in tech, financial services, healthcare, manufacturing, retail, education, and public sector seek platforms that blend live events, VOD libraries, interactive learning, and secure distribution. Demand clusters around cloud video platforms, eCDN, room capture, and analytics, with procurement prioritizing governance, accessibility, and integrations with collaboration, LMS, intranet, and identity providers. Use cases keep multiplying: all‑hands, onboarding, safety training, product demos, customer education, and partner enablement. As video becomes the default medium for change management and enablement, leaders look for measurable ROI—faster onboarding, fewer support tickets, and higher win rates. Vendors differentiate on reliability at scale, security certifications, AI assist for transcription and summarization, and multi‑tenant administration that empowers local teams without sacrificing compliance.


Segmentation reflects deployment preference and maturity. Cloud services dominate for agility and global coverage; hybrid expands where egress…


Harsh RoyHarsh Roy
Harsh Roy

Best Practices for Implementing Self-Supervised Learning Models

Key Self-supervised Learning Market Trends include multimodal pretraining, parameter‑efficient fine‑tuning, and retrieval-augmented workflows. Vision-language models align images and text for search, captioning, and grounded agents; audio-text and video-text follow suit for richer context. Masked autoencoding surges in vision and time-series, while contrastive objectives remain strong for robustness. Efficiency dominates roadmaps: LoRA/adapters, quantization, and distillation reduce compute and latency, enabling on-device and edge deployments. Vector databases and hybrid search mature, blending dense and sparse signals for accuracy and transparency.


Responsible AI is embedded earlier. Dataset documentation, deduplication, and content filters improve quality; privacy-preserving training (federated, DP) expands sensitive-data use. Evaluation evolves beyond accuracy to calibration, robustness, long-tail recall, and fairness—with dashboards for continuous monitoring. Synthetic data, weak supervision, and active learning combine with SSL to cover rare cases and unsafe corners.


Operational trends emphasize repeatability and cost control. Data pipelines move to lakehouse patterns; scheduling and autoscaling optimize GPU utilization; carbon-aware training and…

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Harsh RoyHarsh Roy
Harsh Roy

The Future of Identity Analytics in Cybersecurity

In the digital-first environment, enterprises increasingly rely on advanced solutions to safeguard sensitive data, networks, and systems. This is where Identity Analytics plays a transformative role, combining machine learning, artificial intelligence, and behavioral data insights to monitor and manage employee or user access patterns. Unlike conventional identity access management, identity analytics enables organizations to detect anomalies, prevent insider threats, and enforce zero-trust frameworks effectively. With cyberattacks becoming more sophisticated, the global demand for identity analytics technologies is rapidly accelerating, making it a cornerstone for modern enterprises prioritizing data security.


The adoption of identity analytics is also driven by regulatory compliance requirements. Organizations across industries must ensure strict adherence to frameworks such as GDPR, HIPAA, and CCPA. By leveraging contextual user behavior and risk-based analysis, companies can spot identity fraud attempts in real time. The integration of robust identity analytics tools not only ensures compliance but also fosters trust with customers, investors, and…


Harsh RoyHarsh Roy
Harsh Roy

Measuring Success in Programmatic Display Advertising: Metrics and Analytics

Effective Programmatic Display Advertising Market Research blends qualitative insight with causal measurement. Start with stakeholder interviews—brand, agency, analytics—to define goals and constraints; audit data (first‑party, consent, product feeds) and current buying setups. Map supply paths, SSP partners, and verification coverage to identify waste and MFA exposure. Design test plans that isolate lift: geo-experiments, audience holdouts, and sequential testing; for mobile, align SKAN schemas; for web, prepare for Topics/Protected Audiences. Define KPIs beyond CTR—incremental conversions, CAC/LTV, deduped reach, attention, and carbon per impression—to align with CFO and sustainability objectives.


Quantitatively, run pre‑post and switchback tests to validate SPO and curated PMP performance. Build MMM to integrate offline sales and broader media; complement with granular incrementality to guide daily bidding. Instrument auction diagnostics—win rate, price floors, QPS—and creative analytics for DCO variants. Monitor IVT, viewability, and suitability; use clean rooms to connect impression logs to sales securely. Document assumptions and confidence intervals to avoid…


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